基于组合罗德里格矩阵的异常特征点探测

特征点是点云配准的基础,针对异常特征点对点云配准精度的影响,本文给出了一种异常特征点探测方法,即根据罗德里格矩阵的性质,对特征点进行向量组合,对比分析不同向量组合的点云配准精度,确定配准误差超限的向量组合,此向量组合中含有而其他向量组合中不合有的特征点,便是异常特征点.通过实例验证了该方法的可行性.     

Automatic placement of GIS vector map annotation in area feature by long-diagonal

This paper discusses the placement of Chinese annotation from point of view of graphics. Area Feature is classified as simple polygon, complex polygon and special polygon. For simple ones, annotations are placed along the longest edge. For complex ones, firstly the polygon are simplified according to close points, then the longest diagonal is gotten by comparing length, lastly, annotations are placed along long-diagonal. For special ones, the polygon are partitioned into several parts by a certain rule for getting their sub-diagonals, then their annotation are placed by means of the second.     

Validating the use of object-based image analysis to map commonly recognized landform features in the United States

ABSTRACT

The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of the USGS Geographic Names Information System (GNIS) by associating boundaries with GNIS features whose spatial representation is currently limited to 2D point locations. Geographic object-based image analysis (GEOBIA) was determined to be a promising method to approach both goals. An existing GEOBIA workflow was modified and the resulting segmented objects and terrain categories tested for a strategically chosen physiographic province in the mid-western US, the Ozark Plateaus. The chi-squared test of independence confirmed that there is significant overall spatial association between terrain categories of the GEOBIA and GNIS feature classes. Contingency table analysis also suggests strong category-specific associations between select GNIS and GEOBIA classes. However, 3D visual analysis revealed that GEOBIA objects resembled segmented regions more than they did individual landform objects, with their boundaries often failing to correspond to match what people would likely perceive as landforms. Still, objects derived through GEOBIA can provide initial baseline landscape divisions that can improve the efficiency of more specialized feature extraction methods.     

Can we learn from the past? Towards better analogies and historical inference in society-environmental change research

In light of the challenges posed by contemporary environmental changes, interest in past environmental impacts and societies’ responses to them is burgeoning. The main strength of such research lies in its ability to analyze completed society-environment interactions. Scholars have argued that such analyses can improve our understanding of present challenges and offer useful lessons to guide adaptation responses. Yet despite considerable differences between past and present societies, our inherently limited knowledge of the past and our changing understanding of it, much of this research uses historical antecedents uncritically, assuming that past societal impacts and responses are directly analogous to contemporary ones. We argue that this approach is unsound both methodologically and theoretically, thus drawing insights that might offer an erroneous course of action.To illustrate the challenges in drawing historical analogies, we outline several fundamental differences between past and present societies as well as broader limitations of historical research. Based on these points, we argue that scholars who apply historical inference in their work should do so critically, while reflecting on the objectives of learning from the past and the limitations of this process. We suggest a number of ways to improve past-present analogies, such as defining more explicitly what we can learn from the past, clarifying the rationale for using the analogy, and reducing the number of variables compared between past and present.     

Everyday Adaptation: Theorizing climate change adaptation in daily life

Climate science to date demonstrates that natural and human systems must urgently adapt. Adaptation refers to changes in societies and ecological systems as they respond to both actual and anticipated impacts of the changing climate. While adaptation is not limited to the level of planning and policy, existing adaptation practice privileges institutional action. We argue that the definition of adaptation should be broadened to include the small, incremental changes made in our daily lives to accommodate the shifting ecologies in which we live. Drawing on critical adaptation research and our own ethnographic fieldwork in the Global South, we define everyday adaptation as the shifted ways a person works, eats, lives and thinks in response to climate realities, rather than the hardening of coastlines or the relocation of vulnerable structures. We integrate and build on existing scholarship on adaptation and the everyday to theorize the logics of everyday, hyperlocal adaptation. This hyperlocal scale is a critical component of any definition of adaptation and a useful lens for studying the way much of the global population adapts and will continue to adapt their lives to climate change. We offer two theoretical components of adaptation revealed by the everyday - adaptation labor and value adaptation – as lenses to see changes in everyday action. Through considering hyperlocal action, we then identify and explore four logics of everyday adaptation actions: lifestyle stability, socio-ecological reactivity, livelihood flexibility, and community capacity. Everyday adaptations are limited by individuals’ capacity to adapt and thereby determine the longevity, livability, and quality of life of places on the frontlines of climate change. We argue for understanding the aggregate effects of everyday adaptation in order to better align the actions of those living with climate change in their everyday lives and the large-scale adaptation projects aiming to protect them.     

Historical manufacturing volatility and local sustainability efforts: A link to the past

Renewed attention to the role of subnational efforts in addressing myriad environmental challenges necessitates a greater understanding of the factors associated with program adoption. Given observed relationships between adoption of sustainability practices and the presence of carbon-intensive industry, and separately the observed persistence of industrial history in a given place, we explore the link between historical manufacturing employment volatility and current sustainability plan adoption at the local level. Our analysis suggests that the magnitude of changes in manufacturing employment is inversely related to the likelihood of sustainability plan adoption. Our analysis further suggests that, given the same pace of change, counties with shrinking manufacturing employment are more likely to adopt sustainability plans than those with growing employment. Lastly, we find that the link between past industrial transitions and local sustainability commitment is moderated by local disaster experience and priority for environmental protection. Collectively, the findings also shed light on potential—and otherwise unobservable—barriers to transitions to sustainable practices at the local level. In particular, the inverse relationship between pace of employment change and plan adoption suggests that minimizing the rapidity of contemporary transitions may counterintuitively ease the eventual adoption of sustainability-related policies.     

The strengths and weaknesses of future visioning approaches for climate change adaptation: A review

Adaptation to climate change is about planning for the future while responding to current pressures and challenges. Adaptation scientists are increasingly using future visioning exercises embedded in co-production and co-development techniques to assist stakeholders in imagining futures in a changing climate. Even if these exercises are growing in popularity, surprisingly little scrutiny has been placed on understanding the fundamental assumptions and choices in scenario approaches, timeframes, scales, or methods, and whether they result in meaningful changes in how adaptation is being thought about. Here, we unpack key insights and experiences across 62 case studies that specifically report on using future visioning exercises to engage stakeholders in climate change adaptation. We focus on three key areas: 1) Stakeholder diversity and scales; 2) Tools, methods, and data, and 3) Practical constraints, enablers, and outcomes. Our results show that most studies focus on the regional scale (n = 32; 52%), involve mainly formal decision makers and employ vast array of different methods, tools, and data. Interestingly, most exercises adopt either predictive (what will happen) and explorative (what could happen) scenarios while only a fraction use the more normative (what should happen) scenarios that could enable more transformative thinking. Reported positive outcomes include demonstrated increases in climate change literacy and support for climate change adaptation planning. Unintended and unexpected outcomes include increased anxiety in cases where introduced timeframes go beyond an individual’s expected life span and decreased perceived necessity for undertaking adaptation at all. Key agreed factors that underpin co-production and equal representation, such as gender, age, and diversity, are not well reported, and most case studies do not use reflective processes to harness participant feedback that could enable more robust methodology development. This is a missed opportunity in developing a more fundamental understanding of how these exercises can effectively shift individual and collective mindsets and advance the inclusion of different viewpoints as a pathway for more equitable and just climate adaptation.     

Navigating climate crises in the Great Barrier Reef

A dramatic escalation of extreme climate events is challenging the capacity of environmental governance regimes to sustain and improve ecosystem outcomes. It has been argued that actors within adaptive governance regimes can help to steer environmental systems toward sustainability in times of crisis. Yet there is little empirical evidence of how acute climate crises are navigated by actors operating within adaptive governance regimes, and the factors that influence their responses. Here, we qualitatively assessed the actions key governance actors took in response to back-to-back mass coral bleaching – an extreme climate event – of the Great Barrier Reef in 2016 and 2017, and explored their perceptions of barriers and catalysts to these responses. This research was, in part, a product of collaboration and knowledge co-production with Great Barrier Reef governance actors aimed at improving responses to climate crises in the region. We found five major categories of activity that actors engaged with in the wake of recurrent mass coral bleaching: assessing the scale and extent of bleaching, sharing information, communicating bleaching to the public, building local resilience, and addressing global threats. These actions were both catalyzed and hindered by a range of factors that fall within different domains of adaptive capacity; such as assets, social organization, and agency. We discuss the implications of our findings as they relate to existing research on adaptive capacity and adaptive governance. We conclude by coalescing insights from our interviews and a participant engagement process to highlight four key ways in which the ability of governance actors, and the Great Barrier Reef governance regime more broadly, can be better prepared for, and more effectively respond to extreme climate events. Our research provides empirical insight into how crises are experienced by governance actors in a large-scale environmental system, potentially providing lessons for similar systems across the globe.     

Are managed retreat programs successful and just? A global mapping of success typologies,justice dimensions,and trade-offs

As managed retreat programs expand across the globe, there is an urgent need to assess whether these programs are reducing exposure to climatic hazards, enhancing adaptive capacity, and improving the living conditions of communities in a just and equitable manner or are they exacerbating existing risks and vulnerabilities? Strictly speaking, are retreat programs successful? Using an expansive intersectional justice approach to examine 138 post-resettlement case studies published between 2000 and 2021 across the Global North and South, we identified five typologies of success – techno-managerial, eco-restorative, compensatory, reformative, and transformative – and their trade-offs and synergies. Our meta-analysis incorporated a variety of metrics: relocation types, funding, decision making, socio-economic class, land use change, livelihood options, and social impacts. We found 26% of cases failed, 43% were successful, and 30% are on-going and therefore success was undetermined. The techno-managerial cases, while successful in the limited terms of relocating residents, paid little attention to equity and justice. The eco-restorative and compensatory cases reduced hazard exposure but revealed the synergies and tensions associated with social, ecological, and intergenerational justice. The reformative and transformative cases improved community wellbeing, rootedness, and access to livelihoods while incorporating diverse justice concerns to different degrees. By intersecting these typologies with multiple dimensions of justice, this study advances a novel planning and analytical tool for assessing the potential success or failure of current and future retreat programs.     

Climate discourses as barriers to rights-based adaptive social protection: How historical politics shape Ethiopia’s climate-smart safety net

A rights-based approach to ‘adaptive social protection’ holds promise as a policy measure to address structural dimensions of vulnerability to climate change such as inequality and marginalisation, yet it has been failing to gain traction against production and growth-oriented interventions. Through the lens of Ethiopia’s flagship Productive Safety Net Programme (PSNP), we trace the role of climate discourses in impeding progress towards socially transformative outcomes, despite the importance of social protection for building resilience. We argue that intertwining narratives of moral leadership and green growth associated with Ethiopia’s national climate strategy shape how the PSNP is rendered ‘climate-smart’. These narratives, however, are embedded within politics that have historically underpinned the country’s drive for modernisation and growth-oriented policies, particularly in dealing with food insecurity. Like pre-existing narratives on development and the environment, they rationalise the presence of a strong central State and its control over natural resources and rural livelihoods. The PSNP is thus conditioned to favour technocratic, productivist approaches to adapting to climate change that may help reproduce, rather than challenge the entrenched politics at the root of vulnerability. Ultimately, this case study demonstrates how climate discourses risk diluting core rights-based dimensions of social protection, contradicting efforts to address the structural dimensions of vulnerability to climate change.